Abstract
This paper describes the Nara Institute of Science and Technology's system for the entrance exam pilot task of CLEF 2013 QA4MRE. The core of the system is a similar to the system for the main task of CLEF 2013 QA4MRE. We use minimum error rate training (MERT) to train the weights of the model and also propose a novel method for MERT with the addition of a threshold that defines the certainty with which we must answer questions. The system received a score of 22% c@1.
| Original language | English |
|---|---|
| Title of host publication | 2013 Cross Language Evaluation Forum Conference |
| Volume | 1179 |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | Cross Language Evaluation Forum Conference 2013 - Valencia, Spain Duration: 23 Sept 2013 → 26 Sept 2013 Conference number: 4th http://clef2013.clef-initiative.eu/index.php |
Conference
| Conference | Cross Language Evaluation Forum Conference 2013 |
|---|---|
| Abbreviated title | CLEF 2013 |
| Country/Territory | Spain |
| City | Valencia |
| Period | 23/09/13 → 26/09/13 |
| Internet address |
Keywords
- Discriminative learning
- Inter-sentence features
- Linear feature model
- Machine reading
- Minimum error rate training
- Question answering